DocumentCode :
2246523
Title :
Research on PEMFC fractional model based on an improved genetic algorithm
Author :
Juan, Bian Hui ; Dong, Qi Zhi ; Yuan, Xu Sheng ; Yang, Leng Bo ; Liang, Shan
Author_Institution :
Nanjing University of Science & Technology, Nanjing, Jiangsu, China
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
2028
Lastpage :
2032
Abstract :
There exists a non-integer order phenomenon in the actual dynamic PEMFC system. However, the current mathematical models are mostly proposed with integer-order modeling method. Aiming at the fractional characteristic in the diffusion process of the hydrogen flow at PEMFC anode, a new PEMFC fractional model is set up in this paper, in which the hydrogen flow and pressure is described by a non-integer order formula. Then, an improved GA is also carried out to identify the unknown parameters of the model, where the crossover and mutation probabilities are adaptively adjusted. The simulation results show that the identification method used in this paper is effective and the model is closer to the actual operating condition of the stack.
Keywords :
Fuel cells; Genetic algorithms; Hydrogen; Load modeling; Mathematical model; Sociology; Statistics; Fractional order Model; Improved Genetic Algorithm; PEMFC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7259943
Filename :
7259943
Link To Document :
بازگشت